HARDEEP SINGH

Results-driven DevOps Engineer with 9+ years of experience architecting, automating, and optimizing large-scale cloud infrastructures across AWS, Azure, and GCP. Skilled in designing secure, high-availability environments with Kubernetes, Terraform, and CI/CD pipelines, while driving continuous delivery, performance, and operational excellence across enterprise platforms.

Combining deep DevOps expertise with emerging AI-driven practices, I bring hands-on experience in MLOps, LLMOps, and AIOps—from deploying and scaling ML pipelines to managing LLM workloads on Kubernetes, integrating observability, and implementing intelligent alerting and anomaly detection. Known for bridging data science and infrastructure teams, I enable faster experimentation, reliable model delivery, and reduced downtime through automation and predictive monitoring.

Recognized for a proactive, innovation-focused approach, I help organizations achieve scalable, intelligent, and self-healing infrastructure systems, ensuring agility, reliability, and measurable business impact.

• AI Infrastructure Modernization: Designed and deployed an end-to-end MLOps pipeline using Kubernetes, MLflow, and Airflow—reducing model deployment time by 40% and improving reproducibility across environments.
• LLM Deployment Automation: Led the implementation of LLMOps workflows for fine-tuning and serving large language models (LLMs) on GPU-optimized Kubernetes clusters, achieving 50% faster inference performance and cost-efficient scaling.
• Predictive Monitoring with AIOps: Built intelligent monitoring using Prometheus, Grafana, and anomaly detection with AI models, proactively preventing downtime and reducing alert noise by 35%.
• Data-Driven CI/CD Optimization: Integrated AI-based regression analysis into CI/CD pipelines to auto-detect deployment anomalies, improving release stability by 30%.
• Cloud Cost Optimization via AI Insights: Implemented an AI-powered cost analysis system that identified underutilized resources and cut annual cloud spending by 20%.
• Lead Cloud Migration: Pioneered a successful cloud migration for a critical online platform, resulting in a 20% increase in performance and resilience.
• Optimized Deployment Efficiency: Reduced deployment time by 30% through CI/CD pipeline automation.
• Efficiency Award: Received an Efficiency Award for automating software delivery processes, reducing manual software build time by 60%.
• Cost Reduction Champion: Formulated a cost-saving strategy by optimizing cloud resources, cutting infrastructure expenses by 25% yearly.
• Security Implementation Lead: Directed a comprehensive security overhaul which decreased vulnerability occurrences by 35% over the course of one year.

• AWS Certified Solutions Architect – Professional, Amazon Web Services (AWS)
• AWS Certified DevOps Engineer – Professional, Amazon Web Services (AWS)
• AWS Certified Solutions Architect – Associate, Amazon Web Services (AWS)
• Microsoft Certified: Azure Administrator Associate
• Microsoft Certified: DevOps Engineer Expert